Should we adjust for seasonality in food consumption surveys? The answer in Switzerland. [Poster]

TitreShould we adjust for seasonality in food consumption surveys? The answer in Switzerland. [Poster]
Publication TypeConference Paper
Year of Publication2016
AuthorsChatelan, A, Zuberbühler, C, Camenzind-Frey, E, Bochud, M
Conference Name38th congress of the European Society for Clinical Nutrition and Metabolism (ESPEN)
Date Published2016
PublisherClin Nutr
Conference LocationCopenhagen, Denmark
Accession NumberSUN-P126

Background : Due to market globalization and high availability of various foods throughout the year, adjustment for seasonality at food level may have become unnecessary.

Objective : To describe food consumption across seasons using data from the first National Nutrition Survey in Switzerland.

Methods : National population-based cross-sectional survey included the three linguistic regions of Switzerland.

  • Data collection: from January 2014 to February 2015.
  • 2 non-consecutive computer-assisted 24-hour dietary recalls (24HDR) using GloboDiet.
  • Daily intakes were calculated for 24 food groups (see below). In addition, for five rarely consumed groups (e.g. fish) data were dichotomized (consumed vs. not consumed).
  • Seasonal variations were estimated using quantile regression (P50 to P95) for clustered data, or mixed logistic regression. Both models were adjusted for sex, age, weekdays, BMI, linguistic regions, smoking, education, household size and income.


  • ‘Junk food seasonality’?: large and significant seasonal variations were mainly observed in sugar and energy dense food groups, such as beer, soft drinks, ice-cream, cakes, chocolate products and biscuits.
  • Seasonality was observed for 10 out of 24 food groups. The largest seasonality was observed for food groups that were not frequently consumed. Therefore, adjustment for seasonality at food group level may still be necessary but may have modest impact.
  • Other factors, such as variations at nutrient level, should also be taken into account to comprehensively assess the seasonality in diet.

Clin Nutr. 35: S90.

URL we adjust for seasonality in food consumption surveys_The answer in Switzerland_Poster.pdf
Citation Key / SERVAL ID8785
Peer reviewNon-Refereed
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